3 papers
stat.ME2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
Alberto Cabezas, Louis Sharrock, Christopher Nemeth
Continuous normalizing flows (CNFs) learn the probability path between a reference distribution and a target distribution by modeling the vector field generating said path using ne…
stat.ME2022
Transport Elliptical Slice Sampling
Alberto Cabezas, Christopher Nemeth
We propose a new framework for efficiently sampling from complex probability distributions using a combination of normalizing flows and elliptical slice sampling (Murray et al., 20…
stat.ME2021
Robust Bayesian Nonparametric Variable Selection for Linear Regression
Alberto Cabezas, Marco Battiston, Christopher Nemeth
Spike-and-slab and horseshoe regression are arguably the most popular Bayesian variable selection approaches for linear regression models. However, their performance can deteriorat…